Jane M. Binner

发表

A Semi-automated Display for Geotagged Text

Vincent A. Schmidt, Jane M. Binner, J. Binner, 2015 .

Does Money Matter? An Artificial Intelligence Approach

Peter Tiño, Jonathan A. Tepper, Graham Kendall, 2006, JCIS.

An Application of Neural Networks to the Divisia Index Debate: The Case of Taiwan

Shu-Heng Chen, Jane M. Binner, Alicia M. Gazely, 1999, IC-AI.

Better Service Design for Greater Civic Engagement

Busayawan Lam, Jon Whittle, Jane M. Binner, 2015 .

Does money matter in inflation forecasting

Jonathan A. Tepper, Barry E. Jones, Graham Kendall, 2009 .

On Pure-Strategy Nash Equilibria in a Duopolistic Market Share Model

Vassili N. Kolokoltsov, Jane M. Binner, Francesco Ciardiello, 2019, IGTR.

Market share in a post-entry game

Jane M. Binner, C. B. Lee, L R Fletcher, 2001, J. Oper. Res. Soc..

Determining Divisia Rules Using the Aggregate Feedforward Neural Network

Vincent A. Schmidt, Jane M. Binner, 2003, IC-AI.

Selecting classification features for detection of mass emergencies on social media

Viktor Pekar, Christopher R. Hale, Jane M. Binner, 2016 .

Forecasting Consumer Spending from Purchase Intentions Expressed on Social Media

Viktor Pekar, Jane M. Binner, Viktor Pekar, 2017, WASSA@EMNLP.

Detecting mass emergency events on social media: one classification problem or many?

Viktor Pekar, Jane M. Binner, Hossein L. Najafi, 2016 .

A Connectionist Approach to Producing Rules Describing Monthly UK Divisia Data

Vincent A. Schmidt, Jane M. Binner, 2008, IC-AI.

Analyzing Divisia Rules Extracted from a Feedforward Neural Network

Vincent A. Schmidt, Jane M. Binner, J. Binner, 2006, IC-AI.

On the Role of Digital Consultation Tools in Public Space Design: A Case Study

Busayawan Lam, William Simm, Jon Whittle, 2016, Interact. Comput..

External Pressure on Alliances: What Does the Prisoners' Dilemma Reveal?

Jane M. Binner, Francesco Ciardiello, Vassili Kolokoltsov, 2013, Games.

Evaluating the performance of a EuroDivisia index using artificial intelligence techniques

Graham Kendall, Jane M. Binner, Alicia M. Gazely, 2008, Int. J. Autom. Comput..

VoiceYourView: collecting real-time feedback on the design of public spaces

Jon Whittle, William Simm, Maria Angela Ferrario, 2010, UbiComp.

Dynamic entry deterrence in the UK pathology services market

Jane M. Binner, C. B. Lee, W. D. Murphy, 1998, Eur. J. Oper. Res..

Connectionist-Based Rules Describing the Pass-Through of Individual Goods Prices into Trend Inflation in the United States

Vincent A. Schmidt, Richard Anderson, Jane M. Binner, 2010, IC-AI.

Measurement Error: Consequences, Applications and Solutions

Jane M. Binner, David L. Edgerton, Thomas Elger, 2009 .

Understanding Actionable Knowledge in Social Media: BBC Question Time and Twitter, a Case Study

Paul Rayson, Jon Whittle, William Simm, 2012, ICWSM.

A Comparison Of The Forecasting Performance Of A Constructed Monetary Index With Component Data Using Neural Networks

Jane M. Binner, Alicia M. Gazely, 2005, IC-AI.

Quantitative Decision-Making Rules for the Next Generation of Smarter Evacuations

John Fry, Tobias Galla, Jane M. Binner, 2015 .

Co-Evolving Neural Networks with evolutionary Strategies: A New Application to Divisia Money

Graham Kendall, Jane M. Binner, G. Kendall, 2002, IC-AI.

TOOLS FOR NON-LINEAR TIME SERIES FORECASTING IN ECONOMICS – AN EMPIRICAL COMPARISON OF REGIME SWITCHING VECTOR AUTOREGRESSIVE MODELS AND RECURRENT NEURAL NETWORKS

Jonathan A. Tepper, Jane M. Binner, Birger Nilsson, 2004 .

Forecasting Macroeconomic Time Series: A Comparison of Regime Switching and Recurrent Neural Network Methods

Jonathan A. Tepper, Jane M. Binner, Marcelle Chauvet, 2015 .

Game Theory and Adaptive Networks for Smart Evacuations

Nick S. Jones, Tobias Galla, John Preston, 2011 .

Early detection of heterogeneous disaster events using social media

Vincent A. Schmidt, Viktor Pekar, Christopher R. Hale, 2019, J. Assoc. Inf. Sci. Technol..

Studying the Effect that a Linear Transformation has on the Time-Series Prediction Ability of an Evolutionary Neural Network

Graham Kendall, Jane M. Binner, Qun Bo Chen, 2007 .

Elementary modelling and behavioural analysis for emergency evacuations using social media

John Fry, Jane M. Binner, J. Binner, 2016, Eur. J. Oper. Res..

Functional structure and approximation in econometrics

William A. Barnett, Jane M. Binner, W. Barnett, 2004 .

Analyzing MSI Rules for the USA Extracted from a Feedforward Neural Network

Vincent A. Schmidt, Jane M. Binner, J. Binner, 2009, IC-AI.

Critical Data Source; Tool or Even Infrastructure? Challenges of Geographic Information Systems and Remote Sensing for Disaster Risk Governance

Damien Serre, Carlo Giupponi, Vahid Mojtahed, 2015, ISPRS Int. J. Geo Inf..

VoiceYourView:mapping public confidence in policing

Zhen Zhao, Jon Whittle, Maria Angela Ferrario, 2010 .

A new composite leading indicator of inflation for the UK: a Kalman filter approach

Jane M. Binner, Stuart I. Wattam, 2003 .

Evolutionary strategies vs. neural networks: an inflation forecasting experiment

Graham Kendall, Jane M. Binner, Alicia M. Gazely, 2004 .

Dynamic Neural Network Based Inflation Forecasts for the UK

Jane M. Binner, Gazely, 2003 .

City Evacuations: An Interdisciplinary Approach

Nick S. Jones, Magdalini Kolokitha, Tobias Galla, 2015 .

The Optimal Level of Monetary Aggregation in the UK

Barry E. Jones, Jane M. Binner, David L. Edgerton, 2004 .

A NOTE ON THE OPTIMAL LEVEL OF MONETARY AGGREGATION IN THE UNITED KINGDOM

Barry E. Jones, Jane M. Binner, David L. Edgerton, 2007, Macroeconomic Dynamics.

An evaluation of UK risky money: an artificial intelligence approach

Graham Kendall, Jane M. Binner, Alicia M. Gazely, 2009 .

Applications of Artificial Intelligence in Finance and Economics

Jane M. Binner, 2004 .

Predictable non-linearities in U.S. inflation

Jonathan A. Tepper, Jane M. Binner, Birger Nilsson, 2006 .

Forecasting exchange rates with linear and nonlinear models

Muddun Bhuruth, Jane M. Binner, Alicia M. Gazely, 2008 .

Stock portfolio selection with full-scale optimization and differential evolution

Jane M. Binner, Björn Hagströmer, Björn Hagströmer, 2009 .